Image Representational Model for Predicting Visual Distinctness of Objects

  • Authors:
  • Affiliations:
  • Venue:
  • ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
  • Year:
  • 2000

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Abstract

Here we show that a notion of congruence in statistical structure across 2D frequency bands produces a useful definition of visual patterns for perceiving target distinctness. In order to reach such a conclusion, firstly, the notion of congruence is used to induce a representational model for 2D images. Secondly, the visual-pattern based representational model is used to define a visual target distinctness metric that involves applying a simple decision rule over the distances between the visual patterns. Finally, a relation is established between the computational distinctness metric and psychophysical target distinctness estimates.